Application of laccase and hydrolases for trace organic contaminants removal from contaminated water
Why this work is in the frame
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Bibliographic record
Abstract
The potential of a laccase from Trametes hirsuta, a hydrolase mixture of amylase, lipase cellulase and protease, was studied for the removal of a set of trace organic contaminants (TrOCs) at 10 µg/L each in a contaminated water. An attempt was also made to develop a combination of cross-linked enzyme aggregates (combi-CLEA) from the two groups of enzymes. After a 24-hour in batch treatments at 22°C and pH 7, compounds such as acetaminophen and levothyroxine showed a decrease in concentration of 97% and 99% respectively, in presence of laccase, while amlodipine, levothyroxine, and trimethoprim were removed at 98%, 99% and 99% respectively, when the contaminated water was treated with the hydrolase mixture. The study of the impact of pH, temperature and contact time revealed that the most favorable temperatures were 22°C and 30°C, but no clear correlation was found between pH and removal in the pH range of 6-8, although high removals were achieved at these pHs. Finally, except few compounds such as acetaminophen, the TrOC removal after 24 h was higher than that obtained in 4 h.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it